Coal-rock recognition and control system of shearer based on vibration characteristics analysis
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摘要: 针对采煤机截割过程中的煤岩识别及滚筒自动调高控制问题，提出并设计了一种基于振动特性分析的采煤机煤岩识别控制系统。该系统采用传感器检测采煤机滚筒在截割煤岩过程中3个方向的振动信号，采用PLC进行振动信号的分析和处理，得到采煤机滚筒在截割煤岩过程中的振动特性规律，由此建立采煤机滚筒调高控制规则表，并通过反馈信号偏差在线查表和控制信号输出的闭环控制方法实现采煤机滚筒的自动调高控制。相似模拟截割试验结果表明，该系统能够较好地实现煤岩界面识别和滚筒自动调高控制，具有良好的动态性能。Abstract: In order to solve problems of coal-rock recognition and automatic height regulation control of shearer during cutting process, a kind of coal-rock recognition and control system of shearer was put forward and designed which was based on vibration characteristics analysis. The system detects vibration signals of three directions of shearer drum in process of cutting coal and rock, and uses PLC to analyze and process the vibration data, so as to obtain law of vibration characteristics of the shearer drum in process of cutting coal and rock. Then it establishes automatic height adjustment control rule table of shearer drum, and realizes automatic height regulation control of shearer drum by using closed loop control method combining with online discrete look-up table of feedback signal error and control signal output. The results of similar simulation cutting test show that the system can realize coal-rock interface recognition and automatic height regulation control of shearer drum with good dynamic performance.
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Keywords:
- shearer /
- coal-rock recognition /
- automatic height adjustment /
- vibration signal
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期刊类型引用(1)
1. 张娜，彭文韬，赵强，汝洪芳，吴信元. 基于MBE-YOLO的轻量化井下行人检测模型. 矿业研究与开发. 2025(05): 192-199 . 
百度学术
其他类型引用(1)
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